Featured insight
Diagnose before automating support
Automation works best when the operational problem is understood first. Otherwise, it can make poor workflows faster, more complex and harder to see.
Insights
Operational thinking for post-sale leaders.
Practical analysis for Customer Support and Customer Success leaders: what the numbers mean, where operational risk is building and what to do about it.
Point of view
Practical, not generic.
Signals Ops focuses on the operating decisions behind performance: what is changing, why it is happening, what the evidence supports and what teams should do next.
Expect practical analysis of real operational problems rather than generic management advice or trend commentary.
Topics
Topics we write about.
Customer Support Operations
Backlogs, service performance, workflows, capacity and quality.
Customer Success Operations
Health, risk, lifecycle design and operational consistency.
AI & Automation
Where automation helps, where it creates risk and how to measure it.
Zendesk & Service Technology
Workflow design, reporting, governance and platform improvement.
Metrics & Reporting
What measures actually tell you and where they can mislead.
Operating Models
Ownership, structure, processes and how post-sale teams work together.
Latest
Latest insights.
Customer Support Operations
How to Tell Whether Your Support Team Is Understaffed
Learn how to tell whether your support team is understaffed by checking demand, completion, effective capacity and hidden workflow constraints.
Read article →Knowledge Management
Knowledge Base Gap Analysis: How to Use Support Ticket Data
Learn how to use support tickets, searches, reopens and escalations to find knowledge base gaps and turn them into a prioritised action queue.
Read article →AI in Customer Support
Customer Support Automation: What to Automate, What to Assist and What to Leave Alone
Decide which support tasks to automate, assist with AI or keep human-owned using risk, knowledge quality and fallback criteria.
Read article →Insights
More from Signals Ops
Practical writing on Customer Support, Customer Success, AI, service performance and operational improvement.
Customer Success Management
Customer Success QBRs: How to Run Reviews That Lead to Decisions
Run a customer success QBR that validates outcomes, focuses evidence, involves the right stakeholders and ends with owned next steps.
Read article →Customer Success Operations
Customer Success Capacity Planning: Measure Team Capacity Before Service Slips
Measure Customer Success capacity before service quality slips. Use service promises, work inventory, load ratios and warning signs to make staffing trade-offs.
Read article →Customer Success Playbooks
How to Create a Customer Success Plan Customers Will Actually Use
Create a practical customer success plan around outcomes, milestones, evidence, owners and review rhythms your customer will actually maintain.
Read article →Customer Expansion
Customer Expansion Signals: Spot Growth Without Turning CSMs into Salespeople
Learn how to qualify customer expansion signals, disqualify weak cues and hand growth opportunities to Revenue without putting sales pressure on CSMs.
Read article →Customer Churn
How to Run a Customer Churn Analysis That Changes What You Do
A practical method for defining churn events, comparing cohorts, testing customer churn reasons and assigning corrective action to the right owner.
Read article →Customer Success Operations
Digital Customer Success: Where Automation Helps and Where It Fails
Learn where digital Customer Success automation works, where human escalation is needed, and how to tell whether customers are progressing.
Read article →Dealing with a similar operational problem?
If something in your Support or Success operation is not working as it should, Signals Ops can help diagnose the cause and work through what to change.
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